CFP KNLP@ACM-SAC 2026
Patrizio Bellan via Corpora <[email protected]> Tue, 2 Sep 2025 09:46:14 +0200
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*Knowledge and Natural Language Processing Track @ ACM-SAC*
Aim of the Knowledge and Natural Language Processing (KNLP) track at ACM
SAC is to investigate techniques and application of knowledge engineering
and natural language processing, focusing in particular on approaches
combining them. This is an extremely interdisciplinary emerging research
area, at the core of Artificial Intelligence, combining and complementing
the scientific results from Natural Language Processing and Knowledge
Representation and Reasoning.
Topics of interest
Topics of interest include, but are not limited to:
- Natural Language Processing
- NLP tasks for Knowledge Extraction
- NLP for Ontology Population and Learning
- Sentiment Analysis and Opinion Mining for Knowledge Applications
- Interplay between Language and Ontologies
- NLP for Explainable Knowledge
- Machine Translation techniques for Multilingual Knowledge
- NLP for the Web
- Bias detection and mitigation in small/large LM
- (Small/Large) LM and Knowledge
- Knowledge
- Knowledge to improve NLP tasks
- Knowledge for Information Retrieval
- Knowledge-based Sentiment Analysis and Opinion Mining
- Combining Knowledge and Deep Learning for NLP
- Knowledge for Text Summarization and Generation
- Knowledge for Persuasion
- Knowledge-based Machine Translation
- Knowledge for the Web
- Linked Data for NLP
- Knowledge-based NL Explainability
- LM-enhanced ontology and knowledge engineering methodologies and
tools
- LM-based agent for knowledge extraction, reasoning, and management
- Ontology evaluation via small/large LMs
- (Ontological) knowledge memorization in LMs
- Knowledge-based techniques for LMs (Retrieval Augmented Generation
based approaches, fact-checking, and bias mitigation)
- Question answering over knowledge graphs via small/large LMs
- Real-world applications that exploit Knowledge and NLP
- Real-world applications that exploit Knowledge and NLP
- Knowledge and NLP Systems for Big Data scenarios
- Knowledge and NLP technology for a diverse, equitable, and
inclusive society
- Deployment of Knowledge and NLP Systems in specific domains, such
as:
- Digital Humanities and Social Sciences
- eGovernment and public administration
- Life sciences, health, and medicine
- News and Data Streaming
Paper Submission
Submissions must not have been published or be concurrently considered for
publication elsewhere. Papers should be submitted in PDF using the ACM-SAC
proceedings format <https://www.sigapp.org/sac/sac2026/authorkit.php>.
Authors' names and affiliations should be entered separately at the
submission site and not appear in the submitted papers. Each submission
will be reviewed in *a DOUBLE-BLIND *process according to the ACM-SAC
Regulations. Student Research Competition (SRC) submissions are welcome
(see SAC 2026 SRC page for details
<https://www.sigapp.org/sac/sac2026/src_program.php>).
Initial Submission Policy
- All submissions must initially be submitted as regular papers. There
is no separate submission track for poster papers.
- Paper selection is based on originality, technical contribution,
presentation quality, and relevance to the Knowledge and Natural Languag=
e
Processing Track.
- Based on the outcome of the review process, some submissions=E2=80=94a=
lthough
technically sound=E2=80=94may not be accepted as regular papers due to o=
verall
acceptance rate constraints, and could be accepted as posters
Minimum Length for Review Consideration
- While there is no formal minimum page requirement, submissions of
fewer than four (4) full pages that do not demonstrate substantial
contributions may be subject to desk rejection without external review.
Camera-ready Page Limits
- Regular Papers (accepted for publication):
- Up to eight (8) pages are included with standard registration.
Poster Papers (recommended for acceptance):
- Up to two (2) pages are included with standard registration.
*Important Dates (check SAC website
<https://www.sigapp.org/sac/sac2026/#important-dates> for up-to-date dates)=
*
*September 26, 2025: Regular Paper & SRC Abstract Submission*
For further information, please visit the Knowledge and Natural Language
Processing Track <https://knlp.fbk.eu/> and ACM-SAC 2026
<https://www.sigapp.org/sac/sac2026/> conference websites or feel free
to contact
the Track Co-Chairs <[email protected]>.
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<div dir=3D"ltr"><div dir=3D"ltr" class=3D"gmail_attr"><b><span style=3D"fo=
nt-size:12pt;font-family:Aptos,sans-serif">Knowledge and Natural Language P=
rocessing Track @ ACM-SAC</span></b></div><div dir=3D"ltr"><div class=3D"gm=
ail_quote"><div lang=3D"en-IT"><div id=3D"m_8564893528921153203m_-387976169=
2770323217m_3428371849794475512mail-editor-reference-message-container"><p =
class=3D"MsoNormal" style=3D"margin-bottom:8pt;line-height:13.8pt"><span st=
yle=3D"font-size:12pt;font-family:Aptos,sans-serif">Aim of the Knowledge an=
d Natural Language Processing (<span class=3D"gmail-il"><span class=3D"gmai=
l-il">KNLP</span></span>) track at ACM SAC is to investigate techniques and=
application of knowledge engineering and natural language processing, focu=
sing in particular on approaches combining them. This is an extremely inter=
disciplinary emerging research area, at the core of Artificial Intelligence=
, combining and complementing the scientific results from Natural Language =
Processing and Knowledge Representation and Reasoning.<u></u><u></u></span>=
</p><p class=3D"MsoNormal" style=3D"margin-bottom:8pt;line-height:13.8pt"><=
span style=3D"font-size:12pt;font-family:Aptos,sans-serif">=C2=A0<u></u><u>=
</u></span></p><p class=3D"MsoNormal" style=3D"margin-bottom:8pt;line-heigh=
t:13.8pt"><span style=3D"font-size:12pt;font-family:Aptos,sans-serif">=C2=
=A0<u></u><u></u></span></p><p class=3D"MsoNormal" style=3D"margin-bottom:8=
pt;line-height:13.8pt"><span style=3D"font-size:12pt;font-family:Aptos,sans=
-serif">Topics of interest<u></u><u></u></span></p><p class=3D"MsoNormal" s=
tyle=3D"margin-bottom:8pt;line-height:13.8pt"><span style=3D"font-size:12pt=
;font-family:Aptos,sans-serif">Topics of interest include, but are not limi=
ted to:<u></u><u></u></span></p><ul type=3D"disc" style=3D"margin-bottom:0c=
m;margin-top:0cm"><li class=3D"MsoNormal" style=3D"margin-bottom:8pt;margin=
-left:15px;line-height:13.8pt"><span style=3D"font-size:12pt;font-family:Ap=
tos,sans-serif">Natural Language Processing<u></u><u></u></span></li></ul><=
ul type=3D"disc" style=3D"margin-bottom:0cm;margin-top:0cm"><ul type=3D"cir=
cle" style=3D"margin-bottom:0cm;margin-top:0cm"><li class=3D"MsoNormal" sty=
le=3D"margin-bottom:8pt;margin-left:15px;line-height:13.8pt"><span style=3D=
"font-size:12pt;font-family:Aptos,sans-serif">NLP tasks for Knowledge Extra=
ction<u></u><u></u></span></li><li class=3D"MsoNormal" style=3D"margin-bott=
om:8pt;margin-left:15px;line-height:13.8pt"><span style=3D"font-size:12pt;f=
ont-family:Aptos,sans-serif">NLP for Ontology Population and Learning<u></u=
><u></u></span></li><li class=3D"MsoNormal" style=3D"margin-bottom:8pt;marg=
in-left:15px;line-height:13.8pt"><span style=3D"font-size:12pt;font-family:=
Aptos,sans-serif">Sentiment Analysis and Opinion Mining for Knowledge Appli=
cations<u></u><u></u></span></li><li class=3D"MsoNormal" style=3D"margin-bo=
ttom:8pt;margin-left:15px;line-height:13.8pt"><span style=3D"font-size:12pt=
;font-family:Aptos,sans-serif">Interplay between Language and Ontologies<u>=
</u><u></u></span></li><li class=3D"MsoNormal" style=3D"margin-bottom:8pt;m=
argin-left:15px;line-height:13.8pt"><span style=3D"font-size:12pt;font-fami=
ly:Aptos,sans-serif">NLP for Explainable Knowledge<u></u><u></u></span></li=
><li class=3D"MsoNormal" style=3D"margin-bottom:8pt;margin-left:15px;line-h=
eight:13.8pt"><span style=3D"font-size:12pt;font-family:Aptos,sans-serif">M=
achine Translation techniques for Multilingual Knowledge<u></u><u></u></spa=
n></li><li class=3D"MsoNormal" style=3D"margin-bottom:8pt;margin-left:15px;=
line-height:13.8pt"><span style=3D"font-size:12pt;font-family:Aptos,sans-se=
rif">NLP for the Web<u></u><u></u></span></li><li class=3D"MsoNormal" style=
=3D"margin-bottom:8pt;margin-left:15px;line-height:13.8pt"><span style=3D"f=
ont-size:12pt;font-family:Aptos,sans-serif">Bias detection and mitigation i=
n small/large LM<u></u><u></u></span></li><li class=3D"MsoNormal" style=3D"=
margin-bottom:8pt;margin-left:15px;line-height:13.8pt"><span style=3D"font-=
size:12pt;font-family:Aptos,sans-serif">(Small/Large) LM and Knowledge<u></=
u><u></u></span></li></ul></ul><ul type=3D"disc" style=3D"margin-bottom:0cm=
;margin-top:0cm"><li class=3D"MsoNormal" style=3D"margin-bottom:8pt;margin-=
left:15px;line-height:13.8pt"><span style=3D"font-size:12pt;font-family:Apt=
os,sans-serif">Knowledge<u></u><u></u></span></li></ul><ul type=3D"disc" st=
yle=3D"margin-bottom:0cm;margin-top:0cm"><ul type=3D"circle" style=3D"margi=
n-bottom:0cm;margin-top:0cm"><li class=3D"MsoNormal" style=3D"margin-bottom=
:8pt;margin-left:15px;line-height:13.8pt"><span style=3D"font-size:12pt;fon=
t-family:Aptos,sans-serif">Knowledge to improve NLP tasks<u></u><u></u></sp=
an></li><li class=3D"MsoNormal" style=3D"margin-bottom:8pt;margin-left:15px=
;line-height:13.8pt"><span style=3D"font-size:12pt;font-family:Aptos,sans-s=
erif">Knowledge for Information Retrieval<u></u><u></u></span></li><li clas=
s=3D"MsoNormal" style=3D"margin-bottom:8pt;margin-left:15px;line-height:13.=
8pt"><span style=3D"font-size:12pt;font-family:Aptos,sans-serif">Knowledge-=
based Sentiment Analysis and Opinion Mining<u></u><u></u></span></li><li cl=
ass=3D"MsoNormal" style=3D"margin-bottom:8pt;margin-left:15px;line-height:1=
3.8pt"><span style=3D"font-size:12pt;font-family:Aptos,sans-serif">Combinin=
g Knowledge and Deep Learning for NLP<u></u><u></u></span></li><li class=3D=
"MsoNormal" style=3D"margin-bottom:8pt;margin-left:15px;line-height:13.8pt"=
><span style=3D"font-size:12pt;font-family:Aptos,sans-serif">Knowledge for =
Text Summarization and Generation<u></u><u></u></span></li><li class=3D"Mso=
Normal" style=3D"margin-bottom:8pt;margin-left:15px;line-height:13.8pt"><sp=
an style=3D"font-size:12pt;font-family:Aptos,sans-serif">Knowledge for Pers=
uasion<u></u><u></u></span></li><li class=3D"MsoNormal" style=3D"margin-bot=
tom:8pt;margin-left:15px;line-height:13.8pt"><span style=3D"font-size:12pt;=
font-family:Aptos,sans-serif">Knowledge-based Machine Translation<u></u><u>=
</u></span></li><li class=3D"MsoNormal" style=3D"margin-bottom:8pt;margin-l=
eft:15px;line-height:13.8pt"><span style=3D"font-size:12pt;font-family:Apto=
s,sans-serif">Knowledge for the Web<u></u><u></u></span></li><li class=3D"M=
soNormal" style=3D"margin-bottom:8pt;margin-left:15px;line-height:13.8pt"><=
span style=3D"font-size:12pt;font-family:Aptos,sans-serif">Linked Data for =
NLP<u></u><u></u></span></li><li class=3D"MsoNormal" style=3D"margin-bottom=
:8pt;margin-left:15px;line-height:13.8pt"><span style=3D"font-size:12pt;fon=
t-family:Aptos,sans-serif">Knowledge-based NL Explainability<u></u><u></u><=
/span></li><li class=3D"MsoNormal" style=3D"margin-bottom:8pt;margin-left:1=
5px;line-height:13.8pt"><span style=3D"font-size:12pt;font-family:Aptos,san=
s-serif">LM-enhanced ontology and knowledge engineering methodologies and t=
ools<u></u><u></u></span></li><li class=3D"MsoNormal" style=3D"margin-botto=
m:8pt;margin-left:15px;line-height:13.8pt"><span style=3D"font-size:12pt;fo=
nt-family:Aptos,sans-serif">LM-based agent for knowledge extraction, reason=
ing, and management<u></u><u></u></span></li><li class=3D"MsoNormal" style=
=3D"margin-bottom:8pt;margin-left:15px;line-height:13.8pt"><span style=3D"f=
ont-size:12pt;font-family:Aptos,sans-serif">Ontology evaluation via small/l=
arge LMs<u></u><u></u></span></li><li class=3D"MsoNormal" style=3D"margin-b=
ottom:8pt;margin-left:15px;line-height:13.8pt"><span style=3D"font-size:12p=
t;font-family:Aptos,sans-serif">(Ontological) knowledge memorization in LMs=
<u></u><u></u></span></li><li class=3D"MsoNormal" style=3D"margin-bottom:8p=
t;margin-left:15px;line-height:13.8pt"><span style=3D"font-size:12pt;font-f=
amily:Aptos,sans-serif">Knowledge-based techniques for LMs (Retrieval Augme=
nted Generation based approaches, fact-checking, and bias mitigation)<u></u=
><u></u></span></li><li class=3D"MsoNormal" style=3D"margin-bottom:8pt;marg=
in-left:15px;line-height:13.8pt"><span style=3D"font-size:12pt;font-family:=
Aptos,sans-serif">Question answering over knowledge graphs via small/large =
LMs<u></u><u></u></span></li></ul></ul><ul type=3D"disc" style=3D"margin-bo=
ttom:0cm;margin-top:0cm"><li class=3D"MsoNormal" style=3D"margin-bottom:8pt=
;margin-left:15px;line-height:13.8pt"><span style=3D"font-size:12pt;font-fa=
mily:Aptos,sans-serif">Real-world applications that exploit Knowledge and N=
LP<u></u><u></u></span></li></ul><ul type=3D"disc" style=3D"margin-bottom:0=
cm;margin-top:0cm"><ul type=3D"circle" style=3D"margin-bottom:0cm;margin-to=
p:0cm"><li class=3D"MsoNormal" style=3D"margin-bottom:8pt;margin-left:15px;=
line-height:13.8pt"><span style=3D"font-size:12pt;font-family:Aptos,sans-se=
rif">Real-world applications that exploit Knowledge and NLP<u></u><u></u></=
span></li><li class=3D"MsoNormal" style=3D"margin-bottom:8pt;margin-left:15=
px;line-height:13.8pt"><span style=3D"font-size:12pt;font-family:Aptos,sans=
-serif">Knowledge and NLP Systems for Big Data scenarios<u></u><u></u></spa=
n></li><li class=3D"MsoNormal" style=3D"margin-bottom:8pt;margin-left:15px;=
line-height:13.8pt"><span style=3D"font-size:12pt;font-family:Aptos,sans-se=
rif">Knowledge and NLP technology for a diverse, equitable, and inclusive s=
ociety<u></u><u></u></span></li><li class=3D"MsoNormal" style=3D"margin-bot=
tom:8pt;margin-left:15px;line-height:13.8pt"><span style=3D"font-size:12pt;=
font-family:Aptos,sans-serif">Deployment of Knowledge and NLP Systems in sp=
ecific domains, such as:<u></u><u></u></span></li></ul></ul><ul type=3D"dis=
c" style=3D"margin-bottom:0cm;margin-top:0cm"><ul type=3D"circle" style=3D"=
margin-bottom:0cm;margin-top:0cm"><ul type=3D"square" style=3D"margin-botto=
m:0cm;margin-top:0cm"><li class=3D"MsoNormal" style=3D"margin-bottom:8pt;ma=
rgin-left:15px;line-height:13.8pt"><span style=3D"font-size:12pt;font-famil=
y:Aptos,sans-serif">Digital Humanities and Social Sciences<u></u><u></u></s=
pan></li><li class=3D"MsoNormal" style=3D"margin-bottom:8pt;margin-left:15p=
x;line-height:13.8pt"><span style=3D"font-size:12pt;font-family:Aptos,sans-=
serif">eGovernment and public administration<u></u><u></u></span></li><li c=
lass=3D"MsoNormal" style=3D"margin-bottom:8pt;margin-left:15px;line-height:=
13.8pt"><span style=3D"font-size:12pt;font-family:Aptos,sans-serif">Life sc=
iences, health, and medicine<u></u><u></u></span></li><li class=3D"MsoNorma=
l" style=3D"margin-bottom:8pt;margin-left:15px;line-height:13.8pt"><span st=
yle=3D"font-size:12pt;font-family:Aptos,sans-serif">News and Data Streaming=
<u></u><u></u></span></li></ul></ul></ul><p class=3D"MsoNormal" style=3D"ma=
rgin-bottom:12pt;line-height:13.8pt"><span style=3D"font-size:12pt;font-fam=
ily:Aptos,sans-serif"><u></u>=C2=A0<u></u></span></p><p class=3D"MsoNormal"=
style=3D"margin-bottom:8pt;line-height:13.8pt"><span style=3D"font-size:12=
pt;font-family:Aptos,sans-serif">Paper Submission<u></u><u></u></span></p><=
p class=3D"MsoNormal" style=3D"margin-bottom:8pt;line-height:13.8pt"><span =
style=3D"font-size:12pt;font-family:Aptos,sans-serif">Submissions must not =
have been published or be concurrently considered for publication elsewhere=
. Papers should be submitted in PDF using the=C2=A0<a href=3D"https://www.s=
igapp.org/sac/sac2026/authorkit.php" target=3D"_blank"><span style=3D"color=
:rgb(70,120,134)">ACM-SAC proceedings format</span></a>. Authors' names=
and affiliations should be entered separately at the submission site and n=
ot appear in the submitted papers. Each submission will be reviewed in=C2=
=A0<b>a DOUBLE-BLIND=C2=A0</b>process according to the ACM-SAC Regulations.=
Student Research Competition (SRC) submissions are welcome (see=C2=A0<a hr=
ef=3D"https://www.sigapp.org/sac/sac2026/src_program.php" target=3D"_blank"=
><span style=3D"color:rgb(70,120,134)">SAC 2026 SRC page for details</span>=
</a>).<u></u><u></u></span></p><p class=3D"MsoNormal" style=3D"margin-botto=
m:8pt;line-height:13.8pt"><span style=3D"font-size:12pt;font-family:Aptos,s=
ans-serif">Initial Submission Policy<u></u><u></u></span></p><ul type=3D"di=
sc" style=3D"margin-bottom:0cm;margin-top:0cm"><li class=3D"MsoNormal" styl=
e=3D"margin-bottom:8pt;margin-left:15px;line-height:13.8pt"><span style=3D"=
font-size:12pt;font-family:Aptos,sans-serif">All submissions must initially=
be submitted as regular papers. There is no separate submission track for =
poster papers.<u></u><u></u></span></li><li class=3D"MsoNormal" style=3D"ma=
rgin-bottom:8pt;margin-left:15px;line-height:13.8pt"><span style=3D"font-si=
ze:12pt;font-family:Aptos,sans-serif">Paper selection is based on originali=
ty, technical contribution, presentation quality, and relevance to the Know=
ledge and Natural Language Processing Track.<u></u><u></u></span></li><li c=
lass=3D"MsoNormal" style=3D"margin-bottom:8pt;margin-left:15px;line-height:=
13.8pt"><span style=3D"font-size:12pt;font-family:Aptos,sans-serif">Based o=
n the outcome of the review process, some submissions=E2=80=94although tech=
nically sound=E2=80=94may not be accepted as regular papers due to overall =
acceptance rate constraints, and could be accepted as posters<u></u><u></u>=
</span></li></ul><p class=3D"MsoNormal" style=3D"margin-bottom:8pt;line-hei=
ght:13.8pt"><span style=3D"font-size:12pt;font-family:Aptos,sans-serif">Min=
imum Length for Review Consideration<u></u><u></u></span></p><ul type=3D"di=
sc" style=3D"margin-bottom:0cm;margin-top:0cm"><li class=3D"MsoNormal" styl=
e=3D"margin-bottom:8pt;margin-left:15px;line-height:13.8pt"><span style=3D"=
font-size:12pt;font-family:Aptos,sans-serif">While there is no formal minim=
um page requirement, submissions of fewer than four (4) full pages that do =
not demonstrate substantial contributions may be subject to desk rejection =
without external review.<u></u><u></u></span></li></ul><p class=3D"MsoNorma=
l" style=3D"margin-bottom:8pt;line-height:13.8pt"><span style=3D"font-size:=
12pt;font-family:Aptos,sans-serif">Camera-ready Page Limits<u></u><u></u></=
span></p><ul type=3D"disc" style=3D"margin-bottom:0cm;margin-top:0cm"><li c=
lass=3D"MsoNormal" style=3D"margin-bottom:8pt;margin-left:15px;line-height:=
13.8pt"><span style=3D"font-size:12pt;font-family:Aptos,sans-serif">Regular=
Papers (accepted for publication):<u></u><u></u></span></li></ul><ul type=
=3D"disc" style=3D"margin-bottom:0cm;margin-top:0cm"><ul type=3D"circle" st=
yle=3D"margin-bottom:0cm;margin-top:0cm"><li class=3D"MsoNormal" style=3D"m=
argin-bottom:8pt;margin-left:15px;line-height:13.8pt"><span style=3D"font-s=
ize:12pt;font-family:Aptos,sans-serif">Up to eight (8) pages are included w=
ith standard registration.<u></u><u></u></span></li></ul></ul><p class=3D"M=
soNormal" style=3D"margin-right:0cm;margin-bottom:8pt;margin-left:36pt;line=
-height:13.8pt"><span style=3D"font-size:12pt;font-family:Aptos,sans-serif"=
>Poster Papers (recommended for acceptance):<u></u><u></u></span></p><ul ty=
pe=3D"disc" style=3D"margin-bottom:0cm;margin-top:0cm"><ul type=3D"circle" =
style=3D"margin-bottom:0cm;margin-top:0cm"><li class=3D"MsoNormal" style=3D=
"margin-bottom:8pt;margin-left:15px;line-height:13.8pt"><span style=3D"font=
-size:12pt;font-family:Aptos,sans-serif">Up to two (2) pages are included w=
ith standard registration.<u></u><u></u></span></li></ul></ul><p class=3D"M=
soNormal" style=3D"margin-bottom:8pt;line-height:13.8pt"><span style=3D"fon=
t-size:12pt;font-family:Aptos,sans-serif">=C2=A0<u></u><u></u></span></p><p=
class=3D"MsoNormal" style=3D"margin-bottom:8pt;line-height:13.8pt"><b><spa=
n style=3D"font-size:12pt;font-family:Aptos,sans-serif">Important Dates (ch=
eck=C2=A0<a href=3D"https://www.sigapp.org/sac/sac2026/#important-dates" ta=
rget=3D"_blank"><span style=3D"color:rgb(70,120,134)">SAC website</span></a=
>=C2=A0for up-to-date dates)</span></b><span style=3D"font-size:12pt;font-f=
amily:Aptos,sans-serif"><u></u><u></u></span></p><p class=3D"MsoNormal" sty=
le=3D"margin-bottom:8pt;line-height:13.8pt"><b><span style=3D"font-size:12p=
t;font-family:Aptos,sans-serif"><br></span></b></p><p class=3D"MsoNormal" s=
tyle=3D"margin-bottom:8pt;line-height:13.8pt"><span style=3D"font-family:Ap=
tos,sans-serif"><u><b><font size=3D"4">September 26, 2025: Regular Paper &a=
mp; SRC Abstract Submission</font></b></u></span></p><p class=3D"MsoNormal"=
style=3D"margin-bottom:8pt;line-height:13.8pt"><span style=3D"font-size:12=
pt;font-family:Aptos,sans-serif">=C2=A0<u></u><u></u></span></p><p class=3D=
"MsoNormal" style=3D"margin-bottom:8pt;line-height:13.8pt"><span style=3D"f=
ont-size:12pt;font-family:Aptos,sans-serif">=C2=A0<u></u><u></u></span></p>=
<p class=3D"MsoNormal" style=3D"margin-bottom:8pt;line-height:13.8pt"><span=
style=3D"font-size:12pt;font-family:Aptos,sans-serif">For further informat=
ion, please visit the=C2=A0<a href=3D"https://knlp.fbk.eu/" target=3D"_blan=
k"><span style=3D"color:rgb(70,120,134)">Knowledge and Natural Language Pro=
cessing Track</span></a>=C2=A0and=C2=A0<a href=3D"https://www.sigapp.org/sa=
c/sac2026/" target=3D"_blank"><span style=3D"color:rgb(70,120,134)">ACM-SAC=
2026</span></a>=C2=A0conference websites or feel free to=C2=A0<a href=3D"m=
ailto:[email protected]" target=3D"_blank"><span style=3D"color:rgb(70,120,134)">=
contact the Track Co-Chairs</span></a>.<u></u><u></u></span></p><p class=3D=
"MsoNormal" style=3D"margin-bottom:8pt;line-height:13.8pt"><span style=3D"f=
ont-size:12pt;font-family:Aptos,sans-serif">=C2=A0</span></p></div></div></=
div></div></div>
<br>
<div style=3D"font-family:Arial,Helvetica,sans-serif"><span style=3D"font-s=
ize:x-small">--</span></div><div><div><font size=3D"1"><font face=3D"Arial,=
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e=C2=A0</span><span style=3D"font-family:Arial,Helvetica,sans-serif">esclus=
ivamente ai destinatari indicati e per le finalit=C3=A0 strettamente=C2=A0<=
/span><span style=3D"font-family:Arial,Helvetica,sans-serif">legate al rela=
tivo contenuto. Se avete ricevuto questo messaggio per=C2=A0</span><span st=
yle=3D"font-family:Arial,Helvetica,sans-serif">errore, vi preghiamo di elim=
inarlo e di inviare una comunicazione=C2=A0</span><span style=3D"font-famil=
y:Arial,Helvetica,sans-serif">all=E2=80=99indirizzo e-mail del mittente.</s=
pan></font></div></div><div style=3D"font-family:Arial,Helvetica,sans-serif=
"><font face=3D"Arial, Helvetica, sans-serif" size=3D"1">--</font></div><di=
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