Search Results for author: Haggai Roitman

Found 16 papers, 3 papers with code

Ad-hoc Document Retrieval using Weak-Supervision with BERT and GPT2

no code implementations EMNLP 2020 Yosi Mass, Haggai Roitman

We describe a weakly-supervised method for training deep learning models for the task of ad-hoc document retrieval.

Information Retrieval Retrieval

Unsupervised Search Algorithm Configuration using Query Performance Prediction

no code implementations3 Oct 2022 Haggai Roitman

Search engine configuration can be quite difficult for inexpert developers.

Learning to Diversify for Product Question Generation

no code implementations6 Jul 2022 Haggai Roitman, Uriel Singer, Yotam Eshel, Alexander Nus, Eliyahu Kiperwasser

For a given product description, our goal is to generate questions that reflect potential user information needs that are either missing or not well covered in the description.

Question Generation Question-Generation

tBDFS: Temporal Graph Neural Network Leveraging DFS

1 code implementation12 Jun 2022 Uriel Singer, Haggai Roitman, Ido Guy, Kira Radinsky

A common approach employed by most previous works is to apply a layer that aggregates information from the historical neighbors of a node.

Link Prediction

Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce

1 code implementation18 Oct 2021 Uriel Singer, Haggai Roitman, Yotam Eshel, Alexander Nus, Ido Guy, Or Levi, Idan Hasson, Eliyahu Kiperwasser

In e-commerce, the watchlist enables users to track items over time and has emerged as a primary feature, playing an important role in users' shopping journey.

Attribute Sequential Recommendation

PreSizE: Predicting Size in E-Commerce using Transformers

no code implementations4 May 2021 Yotam Eshel, Or Levi, Haggai Roitman, Alexander Nus

Predicting a proper size for an item to recommend is an important personalization challenge, and is being studied in this work.

Recommendation Systems

A Study of Human Summaries of Scientific Articles

no code implementations10 Feb 2020 Odellia Boni, Guy Feigenblat, Doron Cohen, Haggai Roitman, David Konopnicki

Researchers and students face an explosion of newly published papers which may be relevant to their work.

A Study of BERT for Non-Factoid Question-Answering under Passage Length Constraints

no code implementations19 Aug 2019 Yosi Mass, Haggai Roitman, Shai Erera, Or Rivlin, Bar Weiner, David Konopnicki

We study the use of BERT for non-factoid question-answering, focusing on the passage re-ranking task under varying passage lengths.

Learning-To-Rank Passage Re-Ranking +2

An Editorial Network for Enhanced Document Summarization

no code implementations WS 2019 Edward Moroshko, Guy Feigenblat, Haggai Roitman, David Konopnicki

We suggest a new idea of Editorial Network - a mixed extractive-abstractive summarization approach, which is applied as a post-processing step over a given sequence of extracted sentences.

Abstractive Text Summarization Document Summarization +1

Query Scheduling in the Presence of Complex User Profiles

no code implementations27 Feb 2019 Haggai Roitman, Avigdor Gal, Louiqa Raschid

Advances in Web technology enable personalization proxies that assist users in satisfying their complex information monitoring and aggregation needs through the repeated querying of multiple volatile data sources.

Scheduling

Query Term Weighting based on Query Performance Prediction

no code implementations27 Feb 2019 Haggai Roitman

This work presents a general query term weighting approach based on query performance prediction (QPP).

Re-Ranking Retrieval

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