Search Results for author: Daniel Fried

Found 18 papers, 6 papers with code

Reference-Centric Models for Grounded Collaborative Dialogue

1 code implementation10 Sep 2021 Daniel Fried, Justin T. Chiu, Dan Klein

We present a grounded neural dialogue model that successfully collaborates with people in a partially-observable reference game.

Modular Networks for Compositional Instruction Following

no code implementations NAACL 2021 Rodolfo Corona, Daniel Fried, Coline Devin, Dan Klein, Trevor Darrell

In our approach, subgoal modules each carry out natural language instructions for a specific subgoal type.

Syntactic Structure Distillation Pretraining For Bidirectional Encoders

no code implementations27 May 2020 Adhiguna Kuncoro, Lingpeng Kong, Daniel Fried, Dani Yogatama, Laura Rimell, Chris Dyer, Phil Blunsom

Textual representation learners trained on large amounts of data have achieved notable success on downstream tasks; intriguingly, they have also performed well on challenging tests of syntactic competence.

Knowledge Distillation Language Modelling +2

Cross-Domain Generalization of Neural Constituency Parsers

1 code implementation ACL 2019 Daniel Fried, Nikita Kitaev, Dan Klein

Neural parsers obtain state-of-the-art results on benchmark treebanks for constituency parsing -- but to what degree do they generalize to other domains?

Constituency Parsing Domain Generalization

Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation

no code implementations ACL 2019 Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko

The actual grounding can connect language to the environment through multiple modalities, e. g. "stop at the door" might ground into visual objects, while "turn right" might rely only on the geometric structure of a route.

Vision and Language Navigation

Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing

no code implementations ACL 2018 Daniel Fried, Dan Klein

Dynamic oracles provide strong supervision for training constituency parsers with exploration, but must be custom defined for a given parser's transition system.

Constituency Parsing

Speaker-Follower Models for Vision-and-Language Navigation

1 code implementation NeurIPS 2018 Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell

We use this speaker model to (1) synthesize new instructions for data augmentation and to (2) implement pragmatic reasoning, which evaluates how well candidate action sequences explain an instruction.

Data Augmentation Vision and Language Navigation

Unified Pragmatic Models for Generating and Following Instructions

1 code implementation NAACL 2018 Daniel Fried, Jacob Andreas, Dan Klein

We show that explicit pragmatic inference aids in correctly generating and following natural language instructions for complex, sequential tasks.

Text Generation

Effective Inference for Generative Neural Parsing

no code implementations EMNLP 2017 Mitchell Stern, Daniel Fried, Dan Klein

Generative neural models have recently achieved state-of-the-art results for constituency parsing.

Constituency Parsing

Higher-order Lexical Semantic Models for Non-factoid Answer Reranking

no code implementations TACL 2015 Daniel Fried, Peter Jansen, Gustave Hahn-Powell, Mihai Surdeanu, Peter Clark

We introduce a higher-order formalism that allows all these lexical semantic models to chain direct evidence to construct indirect associations between question and answer texts, by casting the task as the traversal of graphs that encode direct term associations.

Open-Domain Question Answering Semantic Similarity +1

Incorporating Both Distributional and Relational Semantics in Word Representations

no code implementations18 Dec 2014 Daniel Fried, Kevin Duh

We investigate the hypothesis that word representations ought to incorporate both distributional and relational semantics.

Knowledge Base Completion

Incorporating Both Distributional and Relational Semantics in Word Representations

no code implementations14 Dec 2014 Daniel Fried, Kevin Duh

We investigate the hypothesis that word representations ought to incorporate both distributional and relational semantics.

Knowledge Base Completion

Analyzing the Language of Food on Social Media

no code implementations8 Sep 2014 Daniel Fried, Mihai Surdeanu, Stephen Kobourov, Melanie Hingle, Dane Bell

We investigate the predictive power behind the language of food on social media.

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