Publications (9)
Joint Learning of Correlated Sequence Labelling Tasks Using Bidirectional Recurrent Neural Networks
Vardaan Pahuja, Anirban Laha, Shachar Mirkin +3
The stream of words produced by Automatic Speech Recognition (ASR) systems is typically devoid of punctuations and formatting. Most natural language processing applications expect…
HowSumm: A Multi-Document Summarization Dataset Derived from WikiHow Articles
Odellia Boni, Guy Feigenblat, Guy Lev +3
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…
TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks
Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig +2
Currently, no large-scale training data is available for the task of scientific paper summarization. In this paper, we propose a novel method that automatically generates summaries…
RNN Fisher Vectors for Action Recognition and Image Annotation
Guy Lev, Gil Sadeh, Benjamin Klein +1
Recurrent Neural Networks (RNNs) have had considerable success in classifying and predicting sequences. We demonstrate that RNNs can be effectively used in order to encode sequence…
Heuristic-based Inter-training to Improve Few-shot Multi-perspective Dialog Summarization
Benjamin Sznajder, Chulaka Gunasekara, Guy Lev +3
Many organizations require their customer-care agents to manually summarize their conversations with customers. These summaries are vital for decision making purposes of the organi…
orgFAQ: A New Dataset and Analysis on Organizational FAQs and User Questions
Guy Lev, Michal Shmueli-Scheuer, Achiya Jerbi +1
Frequently Asked Questions (FAQ) webpages are created by organizations for their users. FAQs are used in several scenarios, e.g., to answer user questions. On the other hand, the c…