activity
20122023
most citedA study on the Interpretability of Neural Retrieval Models using DeepSHAP

60 citations · 547 across the 40 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CL2020★ 1 cited

BERTnesia: Investigating the capture and forgetting of knowledge in BERT

Jonas Wallat, Jaspreet Singh, Avishek Anand

Probing complex language models has recently revealed several insights into linguistic and semantic patterns found in the learned representations. In this paper, we probe BERT spec…

cs.IR2020★ 5 cited

Conversational Search -- A Report from Dagstuhl Seminar 19461

Avishek Anand, Lawrence Cavedon, Matthias Hagen +3

Dagstuhl Seminar 19461 "Conversational Search" was held on 10-15 November 2019. 44~researchers in Information Retrieval and Web Search, Natural Language Processing, Human Computer…

cs.LG2020★ 2 cited

Valid Explanations for Learning to Rank Models

Jaspreet Singh, Zhenye Wang, Megha Khosla +1

Learning-to-rank (LTR) is a class of supervised learning techniques that apply to ranking problems dealing with a large number of features. The popularity and widespread applicatio…

cs.LG2020★ 21 cited

Boilerplate Removal using a Neural Sequence Labeling Model

Jurek Leonhardt, Avishek Anand, Megha Khosla

The extraction of main content from web pages is an important task for numerous applications, ranging from usability aspects, like reader views for news articles in web browsers, t…

cs.IR2020★ 3 cited

Question Answering over Curated and Open Web Sources

Rishiraj Saha Roy, Avishek Anand

The last few years have seen an explosion of research on the topic of automated question answering (QA), spanning the communities of information retrieval, natural language process…