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08/07/2023
Trusting Language Models in Education
Language Models are being widely used in Education. Even though modern d...
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07/12/2022
OSLAT: Open Set Label Attention Transformer for Medical Entity Span Extraction
Identifying spans in medical texts that correspond to medical entities i...
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11/17/2021
MEDCOD: A Medically-Accurate, Emotive, Diverse, and Controllable Dialog System
We present MEDCOD, a Medically-Accurate, Emotive, Diverse, and Controlla...
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12/19/2020
Perturbed Adaptive Belief Propagation Decoding for High-Density Parity-Check Codes
Algebraic codes such as BCH code are receiving renewed interest as their...
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11/10/2019
Multimodal Intelligence: Representation Learning, Information Fusion, and Applications
Deep learning has revolutionized speech recognition, image recognition, ...
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06/06/2019
From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation
Many important classification problems, such as object classification, s...
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05/31/2019
Table2Vec: Neural Word and Entity Embeddings for Table Population and Retrieval
Tables contain valuable knowledge in a structured form. We employ neural...
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02/20/2018
Attentive Tensor Product Learning for Language Generation and Grammar Parsing
This paper proposes a new architecture - Attentive Tensor Product Learni...
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11/15/2017
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems
We present a new algorithm that significantly improves the efficiency of...
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10/29/2017
A Neural-Symbolic Approach to Natural Language Tasks
Deep learning (DL) has in recent years been widely used in natural langu...
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09/26/2017
Tensor Product Generation Networks for Deep NLP Modeling
We present a new approach to the design of deep networks for natural lan...
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09/26/2017
Tensor Product Generation Networks
We present a new tensor product generation network (TPGN) that generates...
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06/29/2017
Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension
We develop a technique for transfer learning in machine comprehension (M...
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06/17/2017
Towards Neural Phrase-based Machine Translation
In this paper, we present Neural Phrase-based Machine Translation (NPMT)...
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05/23/2017
Question-Answering with Grammatically-Interpretable Representations
We introduce an architecture, the Tensor Product Recurrent Network (TPRN...
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02/28/2017
Scaffolding Networks: Incremental Learning and Teaching Through Questioning
We introduce a new paradigm of learning for reasoning, understanding, an...
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02/24/2017
Sequence Modeling via Segmentations
Segmental structure is a common pattern in many types of sequences such ...
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02/08/2017
Character-level Deep Conflation for Business Data Analytics
Connecting different text attributes associated with the same entity (co...
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12/03/2016
End-to-End Joint Learning of Natural Language Understanding and Dialogue Manager
Natural language understanding and dialogue policy learning are both ess...
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11/28/2016
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
This paper presents our recent work on the design and development of a n...
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11/23/2016
Semantic Compositional Networks for Visual Captioning
A Semantic Compositional Network (SCN) is developed for image captioning...
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11/03/2016
Combating Reinforcement Learning's Sisyphean Curse with Intrinsic Fear
To use deep reinforcement learning in the wild, we might hope for an age...
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09/12/2016
Knowledge as a Teacher: Knowledge-Guided Structural Attention Networks
Natural language understanding (NLU) is a core component of a spoken dia...
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09/03/2016
Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access
This paper proposes KB-InfoBot -- a multi-turn dialogue agent which help...
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08/06/2016
Bi-directional Attention with Agreement for Dependency Parsing
We develop a novel bi-directional attention model for dependency parsing...
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06/12/2016
Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads
We introduce an online popularity prediction and tracking task as a benc...
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01/12/2016
Basic Reasoning with Tensor Product Representations
In this paper we present the initial development of a general theory for...
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11/19/2015
Reasoning in Vector Space: An Exploratory Study of Question Answering
Question answering tasks have shown remarkable progress with distributed...
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11/14/2015
Deep Reinforcement Learning with a Natural Language Action Space
This paper introduces a novel architecture for reinforcement learning wi...
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11/07/2015
Stacked Attention Networks for Image Question Answering
This paper presents stacked attention networks (SANs) that learn to answ...
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09/10/2015
Recurrent Reinforcement Learning: A Hybrid Approach
Successful applications of reinforcement learning in real-world problems...
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05/07/2015
Language Models for Image Captioning: The Quirks and What Works
Two recent approaches have achieved state-of-the-art results in image ca...
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04/13/2015
Joint Learning of Distributed Representations for Images and Texts
This technical report provides extra details of the deep multimodal simi...
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02/24/2015
Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval
This paper develops a model that addresses sentence embedding, a hot top...
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12/20/2014
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
We consider learning representations of entities and relations in KBs us...
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11/18/2014
From Captions to Visual Concepts and Back
This paper presents a novel approach for automatically generating image ...
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11/14/2014
Learning Multi-Relational Semantics Using Neural-Embedding Models
In this paper we present a unified framework for modeling multi-relation...
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11/24/2013