- A Dual Embedding Space Model for Document Ranking
- Massively Multilingual Word Embeddings
- One-shot Learning with Memory-Augmented Neural Networks
- Using Word Embeddings for Automatic Query Expansion
- Offline bilingual word vectors, orthogonal transformations and the inverted softmax
- PACRR: A Position-Aware Neural IR Model for Relevance Matching
- Neural Models for Information Retrieval
- A Survey of Cross-lingual Word Embedding Models
- Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval
- Toward Incorporation of Relevant Documents in word2vec
- Universal Neural Machine Translation for Extremely Low Resource Languages
- Meta-learning For Semi-supervised Few-shot Classification
- Phrase-Based & Neural Unsupervised Machine Translation
- Multi-lingual Common Semantic Space Construction via Cluster-consistentWord Embedding
- Bilingual Embeddings with Random Walks over Multilingual Wordnets
- An UnsupervisedWord Sense Disambiguation System for Under-Resourced Languages
- Unsupervised Cross-Lingual Information Retrieval using Monolingual Data Only
- Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval
- XL-NBT: A Cross-lingual Neural Belief Tracking Framework
- Improving Cross-LingualWord Embeddings by Meeting in the Middle
- Unsupervised Multilingual Word Embeddings
- Neural Cross-Lingual Named Entity Recognition with Minimal Resources
- Unsupervised Cross-lingual Transfer of Word Embedding Spaces
- Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization
- Joint Multilingual Supervision for Cross-lingual Entity Linking
- Cross-Language Information Retrieval
- Learning Crosslingual Word Embeddings without Bilingual Corpora
- Transfer Learning for Low-Resource Neural Machine Translation
- An Introduction to Neural Information Retrieval
- A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval
- Learning to Rank for Information Retrieval and Natural Language Processing
- Neural Networks for Information Retrieval
- Neural information retrieval: at the end of the early years
- Deep Learning for Information Retrieval
- Learning to Match using Local and Distributed Representations of Text for Web Search
manjunath5496/Cross-lingual-Information-Retrieval-Papers
"Almost anything around us of significance is hard to grasp linguistically."― Nassim Nicholas Taleb