Search Results for author: Guy Lev

Found 10 papers, 2 papers with code

Heuristic-based Inter-training to Improve Few-shot Multi-perspective Dialog Summarization

no code implementations29 Mar 2022 Benjamin Sznajder, Chulaka Gunasekara, Guy Lev, Sachin Joshi, Eyal Shnarch, Noam Slonim

We observe that there are different heuristics that are associated with summaries of different perspectives, and explore these heuristics to create weak-labeled data for intermediate training of the models before fine-tuning with scarce human annotated summaries.

Decision Making

HowSumm: A Multi-Document Summarization Dataset Derived from WikiHow Articles

1 code implementation7 Oct 2021 Odellia Boni, Guy Feigenblat, Guy Lev, Michal Shmueli-Scheuer, Benjamin Sznajder, David Konopnicki

We present HowSumm, a novel large-scale dataset for the task of query-focused multi-document summarization (qMDS), which targets the use-case of generating actionable instructions from a set of sources.

Abstractive Text Summarization Document Summarization +1

orgFAQ: A New Dataset and Analysis on Organizational FAQs and User Questions

no code implementations3 Sep 2020 Guy Lev, Michal Shmueli-Scheuer, Achiya Jerbi, David Konopnicki

Thus, we release orgFAQ, a new dataset composed of $6988$ user questions and $1579$ corresponding FAQs that were extracted from organizations' FAQ webpages in the Jobs domain.

RNN Fisher Vectors for Action Recognition and Image Annotation

no code implementations12 Dec 2015 Guy Lev, Gil Sadeh, Benjamin Klein, Lior Wolf

Recurrent Neural Networks (RNNs) have had considerable success in classifying and predicting sequences.

Action Recognition Transfer Learning

Associating Neural Word Embeddings With Deep Image Representations Using Fisher Vectors

no code implementations CVPR 2015 Benjamin Klein, Guy Lev, Gil Sadeh, Lior Wolf

In this work, we are using the Fisher Vector as a sentence representation by pooling the word2vec embedding of each word in the sentence.

Image Retrieval Word Embeddings

Fisher Vectors Derived from Hybrid Gaussian-Laplacian Mixture Models for Image Annotation

no code implementations26 Nov 2014 Benjamin Klein, Guy Lev, Gil Sadeh, Lior Wolf

The second Mixture Model presented is a Hybrid Gaussian-Laplacian Mixture Model (HGLMM) which is based on a weighted geometric mean of the Gaussian and Laplacian distribution.

Image Retrieval Object Recognition

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