Thailand

ACL 2021

GEM: Natural Language Generation, Evaluation, and Metrics - Part 5

**Welcome to ACL-IJCNLP 2021!**

The great event is jointly organized by the Association for Computational Linguistics (ACL) and Asian Federation of Natural Language Processing (AFNLP). 

This Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) was to be held in Bangkok, Thailand, during August 1-6, 2021 and is now virtual on the Underline platform.

As in previous years, the program of the conference includes a poster session, tutorials, workshops and demonstrations in addition to the main conference.


We were able to keep the registration fees similar to those charged for the virtual ACL 2020. The one fee allows attendance at the main conference and any/all tutorials and workshops. These fees would be $125 Regular Early and $175 Regular Late; $50 Student Early and $75 Student Late. Early registration closes at midnight July 11, 2021 (Eastern Daylight Time).

**Reminder:** It is ACL’s policy that at least one author of each accepted paper (including ACL Finding papers) must register for the conference.

**Reminder2:** Underline site will open closer to the event. If you already registered you will receive access detail

Registration is now open

workshop paper

Event Sentence Coreference Identification (ESCI) aims to cluster event sentences that refer to the same event together for information extraction. We describe our ESCI solution developed for the ACL-CASE 2021 shared tasks on the detection and classification of socio-political and crisis event information in a multilingual setting. For a given article, our proposed pipeline comprises of an accurate sentence pair classifier that identifies coreferent sentence pairs and subsequently uses these predicted probabilities to cluster sentences into groups. Sentence pair representations are constructed from fine-tuned BERT embeddings plus POS embeddings fed through a BiLSTM model, and combined with linguistic-based lexical and semantic similarities between sentences. Our best models ranked 2nd, 1st and 2nd and obtained CoNLL F1 scores of 81.20%, 93.03%, 83.15% for the English, Portuguese and Spanish test sets respectively in the ACL-CASE 2021 competition.

NUS-IDS at CASE 2021 Task 1: Improving Multilingual Event Sentence Coreference Identification with Linguistic Information

The 5th Workshop on Online Abuse and Harms - Part 1

The 5th Workshop on Online Abuse and Harms - Part 2

SpLU-RoboNLP: Combined Workshop on Spatial Language Understanding and Grounded Communication for Robotics - Part 1

SpLU-RoboNLP: Combined Workshop on Spatial Language Understanding and Grounded Communication for Robotics - Part 2

Event-Centric Natural Language Understanding

Prosody: Models, Methods, and Applications

Pre-training Methods for Neural Machine Translation

Recognizing Multimodal Entailment

Meta Learning and Its Applications to Natural Language Processing

technical paper

tutorial

https://d3smihljt9218e.cloudfront.net/transcript/21018/subtitle/1e86c2b6c541cb2331c571969cb430a4.vtt

English (automatic)

GEM: Natural Language Generation, Evaluation, and Metrics - Part 5

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NUS-IDS at CASE 2021 Task 1: Improving Multilingual Event Sentence Coreference Identification with Linguistic Information

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GEM: Natural Language Generation, Evaluation, and Metrics - Part 5

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Next from ACL 2021

NUS-IDS at CASE 2021 Task 1: Improving Multilingual Event Sentence Coreference Identification with Linguistic Information

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What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?

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PRESENTATIONS

CONFERENCES

COMPANY

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Downloads