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Reranking

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Showing 401–450 of 586 papers

TitleStatusHype
Tohoku-AIP-NTT at WMT 2020 News Translation Task—0
Making Information Seeking Easier: An Improved Pipeline for Conversational Search—0
Addressing Purchase-Impression Gap through a Sequential Re-ranker—0
Volctrans Parallel Corpus Filtering System for WMT 2020—0
Answering Open-Domain Questions of Varying Reasoning Steps from TextCode1
Pretrained Transformers for Text Ranking: BERT and BeyondCode2
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based ModelsCode0
Prior Art Search and Reranking for Generated Patent Text—0
Answering Any-hop Open-domain Questions with Iterative Document Reranking—0
Innovative Pretrained-based Reranking Language Models for N-best Speech Recognition Lists—0
PARADE: Passage Representation Aggregation for Document RerankingCode1
BUT-FIT at SemEval-2020 Task 4: Multilingual commonsenseCode0
Deep Multi Query Image RetrievalCode0
Conformer-Kernel with Query Term Independence for Document RetrievalCode1
Deep Retrieval: Learning A Retrievable Structure for Large-Scale Recommendations—0
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text RetrievalCode1
Checkpoint Reranking: An Approach to Select Better Hypothesis for Neural Machine Translation Systems—0
University of Tsukuba's Machine Translation System for IWSLT20 Open Domain Translation Task—0
Neural Reranking for Dependency Parsing: An Evaluation—0
Semantic Parsing for English as a Second Language—0
Cost-effective Interactive Attention Learning with Neural Attention ProcessesCode1
Knowledge-Aided Open-Domain Question Answering—0
Noise Robust Named Entity Understanding for Voice Assistants—0
EdgeRec: Recommender System on Edge in Mobile Taobao—0
Multi-agent Communication meets Natural Language: Synergies between Functional and Structural Language Learning—0
WikiUMLS: Aligning UMLS to Wikipedia via Cross-lingual Neural RankingCode1
Fine-grained Morphosyntactic Analysis and Generation Tools for More Than One Thousand Languages—0
Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!Code1
Complementing Lexical Retrieval with Semantic Residual Embedding—0
Fast and Memory-Efficient Neural Code Completion—0
Fast and Accurate Deep Bidirectional Language Representations for Unsupervised LearningCode1
Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic FidelityCode1
TREC CAsT 2019: The Conversational Assistance Track OverviewCode1
Overview of the TREC 2019 Fair Ranking Track—0
Pseudo Labeling and Negative Feedback Learning for Large-scale Multi-label Domain Classification—0
Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding NetworkCode1
Cost-effective Interactive Attention Learning with Neural Attention ProcessCode0
Samsung and University of Edinburgh’s System for the IWSLT 2019—0
The OSU/Facebook Realizer for SRST 2019: Seq2Seq Inflection and Serialized Tree2Tree Linearization—0
KNU-HYUNDAI's NMT system for Scientific Paper and Patent Tasks onWAT 2019—0
Team SVMrank: Leveraging Feature-rich Support Vector Machines for Ranking Explanations to Elementary Science Questions—0
UCSMNLP: Statistical Machine Translation for WAT 2019—0
Putting Machine Translation in Context with the Noisy Channel Model—0
Improving Quality and Efficiency in Plan-based Neural Data-to-Text GenerationCode0
A Sketch-Based System for Semantic ParsingCode0
Subword Language Model for Query Auto-CompletionCode0
Simple and Effective Noisy Channel Modeling for Neural Machine Translation—0
A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete ReasoningCode0
The NiuTrans Machine Translation Systems for WMT19—0
GTCOM Neural Machine Translation Systems for WMT19—0
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