NAACL, COLING, ACL, EMNLP 18-22 Sentiment Analysis Paper Statistics

PyTorch code for Finding in NAACL 2022 paper "Probing the Role of Positional Information in Vision-Language Models".

Code and data of the paper "Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales," NAACL Findings 2024 (to appear)

[NAACL Findings 2024] Pruning as a Domain-specific LLM Extractor. Support LLaMA2.

Development repository for implementations of Models/Experiments in "Hierarchical Transformer for Task Oriented Dialog Systems" - NAACL 2021 (Long Paper)

Official Repo for Implementations of Models/Experiments in "Hierarchical Transformer for Task Oriented Dialog Systems" - NAACL 2021 (Long Paper)

The release of the FreebaseQA data set (NAACL 2019).

A Structured Span Selector (NAACL 2022). A structured span selector with a WCFG for span selection tasks (coreference resolution, semantic role labelling, etc.)

A curated list of awesome sentiment analysis studies, in which attitude corresponds to the text position conveyed by Subject towards other Object mentioned in text such as: entities, events, etc.

The code base for the article "Pivot Based Language Modeling for Improved Neural Domain Adaptation", NAACL 2018

The code for Weak Semi CRF (together with Linear CRF and Semi CRF) on new SMSNP dataset.

Code for the model described in the NAACL'21 short paper "You Sound Like Someone Who Watches Drama Movies: Towards Predicting Movie Preferences from Conversational Interactions" by Volokhin et al.

[NAACL 2021] Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents

Official resource of the paper "Knowledge Enhanced Masked Language Model for Stance Detection", NAACL 2021

Visual Question Generation reading list

ACL BibTeX style that supports hyperlinks

Repository containing code for the NAACL 2021 paper (Incorporating External Knowledge to Enhance Tabular Reasoning)

PyTorch implementation of our paper "Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing" (NAACL19)

Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs (NAACL 2019)

[NAACL 2022]Mobile Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP)