Search Results for author: Mor Geva

Found 11 papers, 8 papers with code

Break, Perturb, Build: Automatic Perturbation of Reasoning Paths through Question Decomposition

no code implementations29 Jul 2021 Mor Geva, Tomer Wolfson, Jonathan Berant

We evaluate a range of RC models on our evaluation sets, which reveals large performance gaps on generated examples compared to the original data.

Natural Language Understanding Reading Comprehension

What's in your Head? Emergent Behaviour in Multi-Task Transformer Models

no code implementations13 Apr 2021 Mor Geva, Uri Katz, Aviv Ben-Arie, Jonathan Berant

In this work, we examine the behaviour of non-target heads, that is, the output of heads when given input that belongs to a different task than the one they were trained for.

Language Modelling Question Answering

Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies

no code implementations6 Jan 2021 Mor Geva, Daniel Khashabi, Elad Segal, Tushar Khot, Dan Roth, Jonathan Berant

A key limitation in current datasets for multi-hop reasoning is that the required steps for answering the question are mentioned in it explicitly.

Question Answering

Transformer Feed-Forward Layers Are Key-Value Memories

1 code implementation29 Dec 2020 Mor Geva, Roei Schuster, Jonathan Berant, Omer Levy

Feed-forward layers constitute two-thirds of a transformer model's parameters, yet their role in the network remains under-explored.

Injecting Numerical Reasoning Skills into Language Models

2 code implementations ACL 2020 Mor Geva, Ankit Gupta, Jonathan Berant

In this work, we show that numerical reasoning is amenable to automatic data generation, and thus one can inject this skill into pre-trained LMs, by generating large amounts of data, and training in a multi-task setup.

Data Augmentation Language Modelling +1

DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion

1 code implementation NAACL 2019 Mor Geva, Eric Malmi, Idan Szpektor, Jonathan Berant

We author a set of rules for identifying a diverse set of discourse phenomena in raw text, and decomposing the text into two independent sentences.

Sentence Fusion Text Simplification +1

Emergence of Communication in an Interactive World with Consistent Speakers

1 code implementation3 Sep 2018 Ben Bogin, Mor Geva, Jonathan Berant

Training agents to communicate with one another given task-based supervision only has attracted considerable attention recently, due to the growing interest in developing models for human-agent interaction.

Learning to Search in Long Documents Using Document Structure

1 code implementation COLING 2018 Mor Geva, Jonathan Berant

Reading comprehension models are based on recurrent neural networks that sequentially process the document tokens.

Information Retrieval Question Answering +1

Evaluating Semantic Parsing against a Simple Web-based Question Answering Model

1 code implementation SEMEVAL 2017 Alon Talmor, Mor Geva, Jonathan Berant

Semantic parsing shines at analyzing complex natural language that involves composition and computation over multiple pieces of evidence.

Question Answering Semantic Parsing

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