In this paper, we revisit math word problems~(MWPs) from the cross-lingual and multilingual perspective. We construct our MWP solvers over pretrained multilingual language models using the sequence-to-sequence model with copy mechanism. We compare how the MWP solvers perform in cross-lingual and multilingual scenarios. To facilitate the comparison of cross-lingual performance, we first adapt the large-scale English dataset MathQA as a counterpart of the Chinese dataset Math23K. Then we extend several English datasets to bilingual datasets through machine translation plus human annotation. Our experiments show that the MWP solvers may not be transferred to a different language even if the target expressions share the same numerical constants and operator set. However, it can be better generalized if problem types exist on both source language and target language.

Investigating Math Word Problems using Pretrained Multilingual Language Models

This paper describes an approach to detect idiomaticity only from the contextualized representation of a MWE over mutltilingual pretrained language models.
Our experiments find that larger models are usually more effective in idiomaticity detection.
However, using a higher layer of the model may not guarantee a better performance.
In multilingual scenario, the convergence of different languages are not consistent and rich-resource languages have big advantages over other languages.

HiJoNLP at SemEval-2022 Task 2: Detecting Idiomaticity of Multiword Expressions using Multilingual Pretrained Language Models

While GPT has become the de-facto method for text generation tasks, its application to pinyin input method remains unexplored.
In this work, we make the first exploration to leverage Chinese GPT for pinyin input method.
We find that a frozen GPT achieves state-of-the-art performance on perfect pinyin.
However, the performance drops dramatically when the input includes abbreviated pinyin.
A reason is that an abbreviated pinyin can be mapped to many perfect pinyin, which links to even larger number of Chinese characters.
We mitigate this issue with two strategies,
including enriching the context with pinyin and optimizing the training process to help distinguish homophones. 
To further facilitate the evaluation of pinyin input method, we create a dataset consisting of 270K instances from fifteen domains.
Results show that our approach improves the performance on abbreviated pinyin across all domains.
Model analysis demonstrates that both strategies
contribute to the performance boost.

Exploring and Adapting Chinese GPT to  Pinyin Input Method

We notice that current approaches over BERT for MCQ formulation is computationally expensive for idioms prediction and idiom embedding baseline fails to fully use contextual information.
Combining the fact that idioms should be used both semantically correct and syntactically sound, we propose a new method with the components Contextual Pooling (CP) and Dual Embedding (DE). 
Experiments show that both contribute to the improvement of the performance on a recent large scale idiom prediction dataset.


A BERT-based Dual Embedding Model for Chinese Idiom Prediction

**Chair:** Marco Valentino **Organizers:** Marco Valentino, Deborah Ferreira, Andre Freitas, Sean Welleck, and Moritz Schubotz Please visit our [**website**](https://sites.google.com/view/1st-mathnlp/) for more information and detailed schedule.

**RocketChat channel for this workshop:** https://emnlp2022.rocket.chat/channel/workshop-18-mathnlp

W18 (MathNLP) 1st Workshop on Mathematical Natural Language Processing

workshop paper

## Welcome to EMNLP 2022!
I am delighted to welcome you to EMNLP 2022! I believe this conference has been complicated beyond any precedent. Over the past year, it’s been thrilling to see the organization team approach each new puzzle with creativity and enthusiasm. We hope that those participating in Abu Dhabi as well as those joining remotely will leave the conference feeling newly inspired by the program and newly connected to our ever-growing community. Following EMNLP 2021 and major NLP conferences since, EMNLP 2022 is “hybrid,” serving both virtual and in-person participants.

Our key innovations for EMNLP 2022 include:

* EMNLP 2022 is “hybrid” in a second sense, as well: we allowed both direct and rolling review paper submissions, building on the pilot experiment of EMNLP 2021, which considered a small number of ARR submissions. 
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***EMNLP 2022 General Chair***
 
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EMNLP 2022

Welcome!
EMNLP 2022 will take place in Abu Dhabi from December 7th to December 11th, 2022. And it will be held in hybrid mode, both online and offline.

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W25: SemEval-2022: 15th International Workshop on Semantic Evaluation

## Welcome to NAACL 2022!
The Annual Meeting of the North American Chapter of the Association for Computational Linguistics (NAACL) is taking place July 10-15, 2022 as a hybrid event, in Seattle, WA and online. We are happy to welcome all of you to conference! 
 
The main conference program features oral presentations, in-person and virtual posters and demo sessions, a plenary session for our best paper presentations and awards, keynote presentations, a plenary panel on the place of linguistics and symbolic structures in NLP, and an Industrial Track panel on Careers in NLP.
 
Posters (including Findings of NAACL 2022) and demos are grouped by areas for both the in-person and the virtual sessions. For the virtual component, the talks will be on Zoom and the posters and the demos will be in GatherTown. The Student Research Workshop and will have an oral session and a poster session.
 
The program also features 6 Tutorials and 26 Workshops.
 
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NAACL 2022

2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics

Posters: NLP Applications

poster

# Welcome everyone to ACL 2022!

The 60th Annual Meeting of the Association for Computational Linguistics is taking place May 22-27, 2022 as a hybrid event, in Dublin and online. We are happy to welcome all of you to this anniversary edition with an almost 50-50 in-person and virtual participation. 
The main conference program features oral presentations, in-person and virtual posters and demo sessions, a plenary session for our best paper presentations and awards, three amazing keynote events and two new initiatives of invited talks: Spotlight Talks for Young Rising Stars (STIRS) and The Next Big Idea Talks. Posters (including Findings of ACL 2022) and demos are grouped by areas for both the in-person and the virtual sessions. For the virtual component, the talks will be on Zoom and the posters and the demos will be in GatherTown. The Student Research Workshop will have an oral session and a poster session as part of Poster Session 1. The program also features eight Tutorials and 28 Workshops. 

 
We wish you a wonderful conference! 
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ACL 2022

The Association for Computational Linguistics (ACL) is the premier international scientific and professional society for people working on computational problems involving human language, a field often referred to as either computational linguistics or natural language processing (NLP). 

POSTER5: Semantics 1

COLING, the International Conference on Computational Linguistics, is one of the premier conferences for natural language processing and computational linguistics. Often grouped within the field of artificial intelligence, but actually pre-dating the development of artificial intelligence, advances in computational linguistics and natural language processing are now some of the major drivers behind the use of artificial intelligence for commercial and social applications – for example, on-line search, machine translation and with voice-assisted conversational devices.

First established in 1965, the biennial COLING conference is held in diverse parts of the globe and attracts participants from both top-ranked research centers and emerging countries. Today, the most important developments in our field are taking place not only in universities and academic research institutes, but also in industrial research departments and in technological startups. COLING conferences provide opportunities for all these communities to showcase their exciting developments.

COLING 2020

COLING, the International Conference on Computational Linguistics, is one of the premier conferences for natural language processing and computational linguistics. Often grouped within the field of artificial intelligence, but actually pre-dating the development of artificial intelligence, advances in computational linguistics and natural language processing are now some of the major drivers behind the use of artificial intelligence for commercial and social applications – for example, on-line search, machine translation and with voice-assisted conversational devices.

Minghuan Tan

4

1

SHORT BIO

Presentations

Investigating Math Word Problems using Pretrained Multilingual Language Models

HiJoNLP at SemEval-2022 Task 2: Detecting Idiomaticity of Multiword Expressions using Multilingual Pretrained Language Models

Exploring and Adapting Chinese GPT to Pinyin Input Method

A BERT-based Dual Embedding Model for Chinese Idiom Prediction

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