1
A Hybrid Probabilistic Approach for Table Understanding
2
Joint Verification and Reranking for Open Fact Checking Over Tables
3
Towards Better Context-aware Lexical Semantics: Adjusting Contextualized Representations through Static Anchors
4
Open Question Answering over Tables and Text
5
A Graph Representation of Semi-structured Data for Web Question Answering
6
Joint Constrained Learning for Event-Event Relation Extraction
7
An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems
8
Web Table Retrieval using Multimodal Deep Learning
9
GPT-GNN: Generative Pre-Training of Graph Neural Networks
10
Table Search Using a Deep Contextualized Language Model
11
Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context
12
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data
13
Projection-based Relevance Model for Table Retrieval
14
Ad Hoc Table Retrieval using Intrinsic and Extrinsic Similarities
15
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data
16
TaPas: Weakly Supervised Table Parsing via Pre-training
17
Logical Natural Language Generation from Open-Domain Tables
18
Pre-training Tasks for Embedding-based Large-scale Retrieval
19
Mutation effect estimation on protein–protein interactions using deep contextualized representation learning
20
PyTorch: An Imperative Style, High-Performance Deep Learning Library
21
Tabular Cell Classification Using Pre-Trained Cell Embeddings
22
TabFact: A Large-scale Dataset for Table-based Fact Verification
23
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks.
24
How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings
25
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
26
Content-based table retrieval for web queries
27
Table2Vec: Neural Word and Entity Embeddings for Table Population and Retrieval
28
Strategies for Pre-training Graph Neural Networks
29
Text Generation from Knowledge Graphs with Graph Transformers
30
Facilitating Document Reading by Linking Text and Tables
32
A Neural Question Answering Model Based on Semi-Structured Tables
33
Table-to-Text: Describing Table Region With Natural Language
34
TabVec: Table Vectors for Classification of Web Tables
35
Ad Hoc Table Retrieval using Semantic Similarity
36
SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning
37
Graph Attention Networks
38
Content-Based Table Retrieval for Web Queries
39
Inductive Representation Learning on Large Graphs
40
Variational Graph Auto-Encoders
41
Semi-Supervised Classification with Graph Convolutional Networks
43
Bag of Tricks for Efficient Text Classification
44
Neural Text Generation from Structured Data with Application to the Biography Domain
45
Effective Approaches to Attention-based Neural Machine Translation
46
Compositional Semantic Parsing on Semi-Structured Tables
47
Building a Semantic Parser Overnight
48
Coordinate descent algorithms
49
A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval
50
Neural Machine Translation by Jointly Learning to Align and Translate
51
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
52
Methods for exploring and mining tables on Wikipedia
53
Table Header Detection and Classification
54
Answering Table Queries on the Web using Column Keywords
55
Recovering Semantics of Tables on the Web
56
Understanding the difficulty of training deep feedforward neural networks
57
Data Integration for the Relational Web
58
WebTables: exploring the power of tables on the web
59
TableRank: A Ranking Algorithm for Table Search and Retrieval
60
TableSeer: automatic table metadata extraction and searching in digital libraries
61
Statistical Phrase-Based Translation
62
The design and implementation of INGRES
63
Query-by-example: the invocation and definition of tables and forms
64
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
65
Retrofitting ContextualizedWord Embeddings with Paraphrases
66
https://openreview.net/forum?id= rJXMpikCZ accepted as poster
67
Applying WebTables in Practice
68
Rectifier Nonlinearities Improve Neural Network Acoustic Models
69
Using TF-IDF to Determine Word Relevance in Document Queries
70
Regression Shrinkage and Selection via the Lasso
71
GatfordCentre for Interactive Systems ResearchDepartment of Information
72
Random decision forests