Skip to content
NLP Highlights cover art

All Episodes

NLP Highlights — 145 episodes · page 2 of 2

#
Title
101

44 - Truly Low Resource NLP, with Anders Søgaard

102

43 - Reinforced Video Captioning with Entailment Rewards, with Ramakanth and Mohit

103

42 - Generating Sentences by Editing Prototypes, with Kelvin Guu

104

41 - Cross-Sentence N-ary Relation Extraction with Graph LSTMs, with Nanyun (Violet) Peng

105

40 - On the State of the Art of Evaluation in Neural Language Models, with Gábor Melis

106

39 - Organizing the SemEval task on scientific information extraction, with Isabelle Augenstein

107

38 - A Corpus of Natural Language for Visual Reasoning, with Alane Suhr

108

37 - On Statistical Significance, Training Variance, and Why Reporting Score Distributions Matters

109

36 - Attention Is All You Need, with Ashish Vaswani and Jakob Uszkoreit

110

35 - Replicability Analysis for Natural Language Processing, with Roi Reichart

111

34 - Translating Neuralese, with Jacob Andreas

112

33 - Entity Linking via Joint Encoding of Types, Descriptions, and Context, with Nitish Gupta

113

32 - The Effect of Different Writing Tasks on Linguistic Style, with Roy Schwartz

114

31 - Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling

115

30 - Probabilistic Typology: Deep Generative Models of Vowel Inventories

116

29 - Neural machine translation via binary code prediction, with Graham Neubig

117

28 - Data Programming: Creating Large Training Sets, Quickly

118

27 - What do Neural Machine Translation Models Learn about Morphology?, with Yonatan Belinkov

119

26 - Structured Attention Networks, with Yoon Kim

120

25 - Neural Semantic Parsing over Multiple Knowledge-bases

121

24 - Improving Hypernymy Detection with an Integrated Path-based and Distributional Method

122

23 - Get To The Point: Summarization with Pointer-Generator Networks

123

22 - Deep Multitask Learning for Semantic Dependency Parsing, with Noah Smith

124

21 - Contextual Explanation Networks, with Maruan Al-Shedivat

125

20 - A simple neural network module for relational reasoning

126

19 - End-to-end Differentiable Proving, with Tim Rocktäschel

127

18 - Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema

128

17 - pix2code: Generating Code from a Graphical User Interface Screenshot

129

16 - Arc-swift: A Novel Transition System for Dependency Parsing

130

15 - Attention and Augmented Recurrent Neural Networks

131

14 - Discourse-Based Objectives for Fast Unsupervised Sentence Representation Learning

132

13 - Question Answering from Unstructured Text by Retrieval and Comprehension

133

12 - Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

134

11 - Relation Extraction with Matrix Factorization and Universal Schemas

135

10 - A Syntactic Neural Model for General-Purpose Code Generation

136

09 - Learning to Generate Reviews and Discovering Sentiment

137

08 - Finding News Citations for Wikipedia

138

07 - Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks

139

06 - Design Challenges for Entity Linking

140

05 - Transition-Based Dependency Parsing with Stack Long Short-Term Memory

141

04 - Recurrent Neural Network Grammars, with Chris Dyer

142

03 - FastQA: A Simple and Efficient Neural Architecture for Question Answering

143

02 - Bidirectional Attention Flow for Machine Comprehension

144

01 - A Comparative Study of Word Embeddings for Reading Comprehension

145

00 - Intro to the podcast