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2024Q3 Reports: SIGNLL

2024-07-05T11:50:30Z

Alishahi: Created page with "== SIGNLL Annual Report (2023-24) == The main goal of SIGNLL, ACL's special interest group on natural language learning, is to promote and inform about research on computatio..."

== SIGNLL Annual Report (2023-24) ==

The main goal of SIGNLL, ACL's special interest group on natural language learning, is to promote and inform about research on computational modeling of learning in natural languages. This is served by (i) the maintenance of an informative and up-to-date website and associated mailing list, and (ii) the organization of annual events (the CoNLL conference and the CoNLL shared tasks), and support of other related activities.

Our websites, located at URL http://www.signll.org for SIGNLL and at www.conll.org for CoNLL were maintained by SIGNLL's information officer Pieter Fivez until Mach 2021, and is now maintained by Jens Lemmens (also at U Antwerpen). This is complemented by an email list for announcements for SIGNLL-related events.

Up until May 31, 2024, the SIGNLL president and secretary were Julia Hockenmaier (University of Illinois at Urbana Champaign) and Afra Alishahi (Tilburg University), respectively. As of June 1, Omri Abend (The Hebrew University of Jerusalem) will act as the SIGNLL president and Antske Fokkens (Vrije Universiteit Amsterdam) will take on the role of SIGNLL secretary.

Apart from the officers, SIGNLL also has two consultative committees. The SIGNLL Steering Committee, composed by all past SIGNLL officers: Antal van den Bosch, Claire Cardie, Xavier Carreras, Alexander Clark, Walter Daelemans, Lluis Marquez, Hwee Tou Ng, Joakim Nivre, David Powers, and Dan Roth; and the larger SIGNLL International Advisory Board (see http://www.signll.org/officers for a complete description of SIGNLL officers and boards). As of July 1, SIGNLL has 430 registered members.

=== CoNLL 2023 ===

Starting in 2020, to differentiate itself from other NLP conferences, CoNLL adopted a focus on theoretically, cognitively and scientifically motivated approaches to computational linguistics, rather than on work driven by particular engineering applications.

In December 2023, the CoNLL conference was collocated with EMNLP 2023 in Singapore. The program chairs were David Reitter (Google DeepMind, New York City) and Jing Jiang (Singapore Management University, Singapore) who also acted as the local chair. The publication chair was Shumin Deng (National University of Singapore). Together with CMCL 2023, CoNLL 2023 hosted the babyLM Challenge shared task organized by Leshem Choshen, Ryan Cotterell, Kundan Krishna, Tal Linzen, Haokun Liu, Aaron Mueller, Alex Warstadt, Ethan Wilcox, Adina Williams
and Chengxu Zhuang.

=== CoNLL 2024 ===

CoNLL 2024 will take place in November 2024 in Miami, Florida, and will be collocated with EMNLP 2024. The program chairs are Malihe Alikhani (Northeastern University) and Libby Barak (Montclair State university). CoNLL 2024 will have two publication chairs: Mert Inan (Northeastern University) and Julia Watson (University of Toronto). This year CoNLL will not organize a shared task.

2023Q3 Reports: SIGNLL

2023-07-04T07:11:28Z

Alishahi: Created page with "== SIGNLL Annual Report (2022-23) == The goals of SIGNLL, ACL's special interest group on natural language learning, are to promote and inform about research on computational..."

== SIGNLL Annual Report (2022-23) ==

The goals of SIGNLL, ACL's special interest group on natural language learning, are to promote and inform about research on computational modeling of learning in natural language. These are served by (i) the maintenance of an informative and up-to-date website and associated mailing list, and (ii) the organization of annual events (the CoNLL conference and the CoNLL shared tasks), and support of other related activities.

Our websites, located at URL http://www.signll.org for SIGNLL and at www.conll.org for CoNLL were maintained by SIGNLL's information officer Pieter Fivez until Mach 2021, and is now maintained by Jens Lemmens (also at U Antwerpen). This is complemented by an email list for announcements for SIGNLL-related events.

The current SIGNLL president is Julia Hockenmaier (University of Illinois at Urbana Champaign) and the secretary is Afra Alishahi (Tilburg University). Apart from the officers, SIGNLL also has two consultative committees. The SIGNLL Steering Committee, composed by all past SIGNLL officers: Antal van den Bosch, Claire Cardie, Xavier Carreras, Alexander Clark, Walter Daelemans, Lluis Marquez, Hwee Tou Ng, Joakim Nivre, David Powers, and Dan Roth; and the larger SIGNLL International Advisory Board (see http://www.signll.org/officers for a complete description of SIGNLL officers and boards). We will hold elections for a new president and secretary in the Fall of 2023.

=== CoNLL 2023 ===

Starting in 2020, to differentiate itself from other NLP conferences, CoNLL adopted a focus on theoretically, cognitively and scientifically motivated approaches to computational linguistics, rather than on work driven by particular engineering applications.

In December 2023, the CoNLL conference will be collocated with EMNLP 2023 in Singapore. The program chairs are David Reitter (Google DeepMind, New York City) and Jing Jiang (Singapore Management University, Singapore) who also acts as the local chair. The publication chair is Shumin Deng (National University of Singapore). Submission deadline is now closed and reviewing is underway.

Together with CMCL 2023, CoNLL 2023 will host the babyLM Challenge shared task organized by Leshem Choshen, Ryan Cotterell, Kundan Krishna, Tal Linzen, Haokun Liu, Aaron Mueller, Alex Warstadt, Ethan Wilcox, Adina Williams
and Chengxu Zhuang.

2022Q3 Reports: SIGNLL

2023-07-04T07:10:31Z

Alishahi: Created page with "== SIGNLL Annual Report (2021-22) == The goals of SIGNLL, ACL's special interest group on natural language learning, are to promote and inform about research on computational..."

== SIGNLL Annual Report (2021-22) ==

The goals of SIGNLL, ACL's special interest group on natural language learning, are to promote and inform about research on computational modeling of learning in natural language. These are served by (i) the maintenance of an informative and up-to-date website and associated mailing list, and (ii) the organization of annual events (the CoNLL conference and the CoNLL shared tasks), and support of other related activities.

Our websites, located at URL http://www.signll.org for SIGNLL and at www.conll.org for CoNLL were maintained by SIGNLL's information officer Pieter Fivez until Mach 2021, and is now maintained by Jens Lemmens (also at U Antwerpen). This is complemented by an email list for announcements for SIGNLL-related events.

The current SIGNLL president is Julia Hockenmaier (University of Illinois at Urbana Champaign) and the secretary is Afra Alishahi (Tilburg University). Apart from the officers, SIGNLL also has two consultative committees. The SIGNLL Steering Committee, composed by all past SIGNLL officers: Antal van den Bosch, Claire Cardie, Xavier Carreras, Alexander Clark, Walter Daelemans, Lluis Marquez, Hwee Tou Ng, Joakim Nivre, David Powers, and Dan Roth; and the larger SIGNLL International Advisory Board (see http://www.signll.org/officers for a complete description of SIGNLL officers and boards).

=== CoNLL 2022 ===
Starting in 2020, to differentiate itself from other NLP conferences, CoNLL adopted a focus on theoretically, cognitively and scientifically motivated approaches to computational linguistics, rather than on work driven by particular engineering applications.

In 2022, the CoNLL conference was collocated with EMNLP 2022 in Abu Dhabi, and was held in a hybrid format but also entirely accessible online. The program chairs were Antske Fokkens (Vrije Universiteit Amsterdam and Eindhoven University of Technology, The Netherlands) and Vivek Srikumar (University of Utah, USA). The publicity Chair was Jack Hessel (Allen Institute for AI), and the publication Chair was R. Thomas McCoy (John Hopkins University). Pia Sommerauer and Angel Daza acted as local chairs. The invited speakers were Noah Goodman (Stanford University) and Allyson Ettinger (University of Chicago). CoNLL 2022 did not have any shared tasks.