no code implementations • 27 Jan 2022 • Alon Jacovi, Jasmijn Bastings, Sebastian Gehrmann, Yoav Goldberg, Katja Filippova
When explaining AI behavior to humans, how is the communicated information being comprehended by the human explainee, and does it match what the explanation attempted to communicate?
1 code implementation • 27 Jan 2022 • Hendrik Schuff, Alon Jacovi, Heike Adel, Yoav Goldberg, Ngoc Thang Vu
In this work, we focus on this question through a study of saliency-based explanations over textual data.
1 code implementation • EMNLP 2021 • Alon Jacovi, Swabha Swayamdipta, Shauli Ravfogel, Yanai Elazar, Yejin Choi, Yoav Goldberg
Our method is based on projecting model representation to a latent space that captures only the features that are useful (to the model) to differentiate two potential decisions.
no code implementations • 15 Oct 2020 • Alon Jacovi, Ana Marasović, Tim Miller, Yoav Goldberg
We discuss a model of trust inspired by, but not identical to, sociology's interpersonal trust (i. e., trust between people).
1 code implementation • EMNLP 2020 • Shachar Rosenman, Alon Jacovi, Yoav Goldberg
The process of collecting and annotating training data may introduce distribution artifacts which may limit the ability of models to learn correct generalization behavior.
no code implementations • 1 Jun 2020 • Yanai Elazar, Shauli Ravfogel, Alon Jacovi, Yoav Goldberg
In this work, we point out the inability to infer behavioral conclusions from probing results and offer an alternative method that focuses on how the information is being used, rather than on what information is encoded.
1 code implementation • 1 Jun 2020 • Alon Jacovi, Yoav Goldberg
We find that the requirement of model interpretations to be faithful is vague and incomplete.
no code implementations • ACL 2020 • Alon Jacovi, Yoav Goldberg
With the growing popularity of deep-learning based NLP models, comes a need for interpretable systems.
1 code implementation • EACL 2021 • Alon Jacovi, Gang Niu, Yoav Goldberg, Masashi Sugiyama
We consider the situation in which a user has collected a small set of documents on a cohesive topic, and they want to retrieve additional documents on this topic from a large collection.
no code implementations • WS 2019 • Sima Sharifirad, Alon Jacovi
Sexism is very common in social media and makes the boundaries of free speech tighter for female users.
no code implementations • ICLR 2019 • Alon Jacovi, Guy Hadash, Einat Kermany, Boaz Carmeli, Ofer Lavi, George Kour, Jonathan Berant
We propose a method for end-to-end training of a base neural network that integrates calls to existing black-box functions.
2 code implementations • WS 2018 • Alon Jacovi, Oren Sar Shalom, Yoav Goldberg
We present an analysis into the inner workings of Convolutional Neural Networks (CNNs) for processing text.
no code implementations • 24 Apr 2018 • Guy Hadash, Einat Kermany, Boaz Carmeli, Ofer Lavi, George Kour, Alon Jacovi
At inference time, we replace each estimator with its existing application counterpart and let the base network solve the task by interacting with the existing application.