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Joint Word and Entity Embeddings for Entity Retrieval from a Knowledge Graph

https://doi.org/10.1007/978-3-030-45439-5_10
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38/38 checkable references clean · checked 2026-07-26

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

8 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 38 checked references that resolve
resolves10.1609/aaai.v25i1.7917
Learning Structured Embeddings of Knowledge Bases
resolves10.1145/2187836.2187855
The SemSets model for ad-hoc semantic list search
resolves10.1145/2872427.2883061
A Piggyback System for Joint Entity Mention Detection and Linking in Web Queries
resolves10.1145/2506182.2506198
Improving efficiency and accuracy in multilingual entity extraction
resolves10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9
Indexing by latent semantic analysis
resolves10.18653/v1/P16-1035
Query Expansion with Locally-Trained Word Embeddings
resolves10.1145/3077136.3080764
Embedding-based Query Expansion for Weighted Sequential Dependence Retrieval Model
resolves10.1145/2939672.2939754
node2vec
resolves10.1145/3077136.3080751
DBpedia-Entity v2
resolves10.1145/2983323.2983876
Query Expansion Using Word Embeddings
resolves10.3233/SW-140134
DBpedia – A large-scale, multilingual knowledge base extracted from Wikipedia
resolves10.1007/978-3-030-32381-3_9
Explore Entity Embedding Effectiveness in Entity Retrieval
resolves10.1016/j.websem.2013.05.006
Evaluating question answering over linked data
resolves10.1007/978-3-642-28997-2_12
On the Modeling of Entities for Ad-Hoc Entity Search in the Web of Data
resolves10.1007/978-3-642-28997-2_59
When Simple is (more than) Good Enough: Effective Semantic Search with (almost) no Semantics
resolves10.18653/v1/W18-3026
Jointly Embedding Entities and Text with Distant Supervision
resolves10.1145/2187836.2187874
Factorizing YAGO
resolves10.1145/2911451.2911545
Parameterized Fielded Term Dependence Models for Ad-hoc Entity Retrieval from Knowledge Graph
resolves10.3115/v1/D14-1162
Glove: Global Vectors for Word Representation
resolves10.1145/1863879.1863881
Using BM25F for semantic search
resolves10.1145/2623330.2623732
DeepWalk
resolves10.1145/3097983.3098061
<i>struc2vec</i>
resolves10.1145/2488388.2488488
Question answering on interlinked data
resolves10.1145/2348283.2348304
Combining inverted indices and structured search for ad-hoc object retrieval
resolves10.1145/2766462.2767752
Monolingual and Cross-Lingual Information Retrieval Models Based on (Bilingual) Word Embeddings
resolves10.3115/v1/D14-1167
Knowledge Graph and Text Jointly Embedding
resolves10.1145/1148170.1148204
LDA-based document models for ad-hoc retrieval
resolves10.1609/aaai.v30i1.10329
Representation Learning of Knowledge Graphs with Entity Descriptions
resolves10.1145/2970398.2970405
Embedding-based Query Language Models
resolves10.1145/2970398.2970403
Estimating Embedding Vectors for Queries
resolves10.1145/3077136.3080831
Relevance-based Word Embedding
resolves10.6028/NIST.SP.500-261.HARD-microsoft.robertson
Microsoft Cambridge at TREC 13: Web and Hard Tracks
resolves10.1145/2505515.2507868
Improving entity search over linked data by modeling latent semantics
resolves10.1145/2766462.2767756
Fielded Sequential Dependence Model for Ad-Hoc Entity Retrieval in the Web of Data
resolves10.18653/v1/D15-1031
Aligning Knowledge and Text Embeddings by Entity Descriptions
The 8 references without a DOI — listed, not checked
no DOI — not checkedArora, S., Liang, Y., Ma, T.: A simple but tough-to-beat baseline for sentence embeddings. In: ICLR 2017 (2017)
no DOI — not checkedBlanco, R., et al.: Entity search evaluation over structured web data. In: SIGIR 2011 (2011)
no DOI — not checkedBordes, A., Usunier, N., García-Durán, A., Weston, J., Yakhnenko, O.: Translating embeddings for modeling multi-relational data. In: NIPS 2013. pp. 2787–2795 (2013)
no DOI — not checkedMikolov, T., Sutskever, I., Chen, K., Corrado, G., Dean, J.: Distributed representations of words and phrases and their compositionality. In: NIPS 2013, pp. 3111–3119 (2013)
no DOI — not checkedMitra, B., Nalisnick, E.T., Craswell, N., Caruana, R.: A dual embedding space model for document ranking. CoRR abs/1602.01137 (2016). http://arxiv.org/abs/1602.01137
no DOI — not checkedŘehůřek, R., Sojka, P.: Software framework for topic modelling with large corpora. In: NLP Frameworks at LREC 2010, pp. 45–50. May 2010
no DOI — not checkedRekabsaz, N., Mitra, B., Lupu, M., Hanbury, A.: Toward incorporation of relevant documents in word2vec. CoRR abs/1707.06598 (2017). http://arxiv.org/abs/1707.06598
no DOI — not checkedSocher, R., Chen, D., Manning, C.D., Ng, A.: Reasoning with neural tensor networks for knowledge base completion. In: NIPS 2013, pp. 926–934 (2013)
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