Answer Selection

46 papers with code • 6 benchmarks • 10 datasets

Answer Selection is the task of identifying the correct answer to a question from a pool of candidate answers. This task can be formulated as a classification or a ranking problem.

Source: Learning Analogy-Preserving Sentence Embeddings for Answer Selection

[Re] Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings

jishnujayakumar/MLRC2020-EmbedKGQA RC 2020

In addition to making the codebase more modular and easy to navigate, we have made changes to incorporate different transformers in the question embedding module.

21
31 Jan 2021

ComQA:Compositional Question Answering via Hierarchical Graph Neural Networks

benywon/ComQA 16 Jan 2021

In compositional question answering, the systems should assemble several supporting evidence from the document to generate the final answer, which is more difficult than sentence-level or phrase-level QA.

15
16 Jan 2021

NUT-RC: Noisy User-generated Text-oriented Reading Comprehension

whalefallzz/nut_rc COLING 2020

Most existing RC models are developed on formal datasets such as news articles and Wikipedia documents, which severely limit their performances when directly applied to the noisy and informal texts in social media.

1
01 Dec 2020

Utilizing Bidirectional Encoder Representations from Transformers for Answer Selection

tahmedge/BERT-for-Answer-Selection 14 Nov 2020

We find that fine-tuning the BERT model for the answer selection task is very effective and observe a maximum improvement of 13. 1% in the QA datasets and 18. 7% in the CQA datasets compared to the previous state-of-the-art.

11
14 Nov 2020

A Wrong Answer or a Wrong Question? An Intricate Relationship between Question Reformulation and Answer Selection in Conversational Question Answering

svakulenk0/QRQA EMNLP (scai) 2020

The dependency between an adequate question formulation and correct answer selection is a very intriguing but still underexplored area.

4
13 Oct 2020

MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale

ukplab/emnlp2020-multicqa EMNLP 2020

We investigate the model performances on nine benchmarks of answer selection and question similarity tasks, and show that all 140 models transfer surprisingly well, where the large majority of models substantially outperforms common IR baselines.

14
02 Oct 2020

Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings

malllabiisc/EmbedKGQA ACL 2020

In a separate line of research, KG embedding methods have been proposed to reduce KG sparsity by performing missing link prediction.

398
01 Jul 2020

Contextualized Embeddings based Transformer Encoder for Sentence Similarity Modeling in Answer Selection Task

tahmedge/CETE-LREC LREC 2020

In this paper, we utilize contextualized word embeddings with the transformer encoder for sentence similarity modeling in the answer selection task.

21
01 May 2020

Review-guided Helpful Answer Identification in E-commerce

isakzhang/answer-helpfulness-prediction 13 Mar 2020

In this paper, we propose the Review-guided Answer Helpfulness Prediction (RAHP) model that not only considers the interactions between QA pairs but also investigates the opinion coherence between the answer and crowds' opinions reflected in the reviews, which is another important factor to identify helpful answers.

5
13 Mar 2020

Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering

dengyang17/wikihowQA 22 Nov 2019

Community question answering (CQA) gains increasing popularity in both academy and industry recently.

15
22 Nov 2019