Natural language inference is the task of determining whether a "hypothesis" is true (entailment), false (contradiction), or undetermined (neutral) given a "premise".

Example:

Premise Label Hypothesis
A man inspects the uniform of a figure in some East Asian country. contradiction The man is sleeping.
An older and younger man smiling. neutral Two men are smiling and laughing at the cats playing on the floor.
A soccer game with multiple males playing. entailment Some men are playing a sport.

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

# Cross-Lingual Word Embedding Refinement by $\ell_{1}$ Norm Optimisation

11 Apr 2021Pzoom522/L1-Refinement

It is therefore recommended that this strategy be adopted as a standard for CLWE methods.

3
11 Apr 2021

# Unsupervised Learning of Explainable Parse Trees for Improved Generalisation

11 Apr 2021atul04/Explainable-Latent-Structures-Using-Attention

In this work, we propose an attention mechanism over Tree-LSTMs to learn more meaningful and explainable parse tree structures.

1
11 Apr 2021

# NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance

10 Apr 2021Helsinki-NLP/nli-data-sanity-check

We propose a new diagnostics test suite which allows to assess whether a dataset constitutes a good testbed for evaluating the models' meaning understanding capabilities.

0
10 Apr 2021

# Incorporating External Knowledge to Enhance Tabular Reasoning

9 Apr 2021utahnlp/knowledge_infotabs

Reasoning about tabular information presents unique challenges to modern NLP approaches which largely rely on pre-trained contextualized embeddings of text.

3
09 Apr 2021

# Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks

Most existing methods generate post-hoc explanations for neural network models by identifying individual feature attributions or detecting interactions between adjacent features.

0
09 Apr 2021

# Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning

4 Apr 2021layneins/Zero-shot-RLHR

In this paper, we explore to improve pretrained models with label hierarchies on the ZS-MTC task.

2
04 Apr 2021

# TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing

21 Mar 2021textflint/textflint

To guarantee user acceptability, all the text transformations are linguistically based, and we provide a human evaluation for each one.

408
21 Mar 2021

# Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence

15 Mar 2021TalSchuster/VitaminC

Typical fact verification models use retrieved written evidence to verify claims.

16
15 Mar 2021

In our setup an algorithm is trained on several source domains, and then applied to examples from an unseen domain that is unknown at training time.

4
24 Feb 2021

# Language Models for Lexical Inference in Context

10 Feb 2021mnschmit/lm-lexical-inference

Lexical inference in context (LIiC) is the task of recognizing textual entailment between two very similar sentences, i. e., sentences that only differ in one expression.

2
10 Feb 2021