Natural Language Questions for the Web of Data

By Mohamed Yahya, Klaus Berberich, Shady Elbassuoni, Maya Ramanath, Volker Tresp, Gerhard Weikum. 2012

224 citations recorded by the source corpus.

Subfields: Information Retrieval & Search, Natural Language Processing

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Citations in the corpus

Semantic Parsing on Freebase from Question-Answer Pairs (2013, methodology): “Previous work on semantic parsing on Freebase uses a combination of manual rules (Yahya et al., 2012; Unger et al., 2012), distant supervision (Krishnamurthy and Mitchell, 2012), and schema”
Large-scale Simple Question Answering with Memory Networks (2015, methodology): “The ﬁrst approaches to open-domain QA were search engine-based systems, where keywords extracted from the question are sent to a search engine, and the answer is extracted from the top re-sults (Yahya et al., 2012; Unger et al., 2012).”
Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering (2015, background): “It has many real-life applications, such as automatic querying of surveillance video [4] or assisting the visually impaired [5].”
Scaling Semantic Parsers with On-the-Fly Ontology Matching (2013, methodology): “Recent efforts to build natural language interfaces to large databases, for example DBpedia (Yahya et al., 2012; Unger et al., 2012), have also used handengineered ontology matching techniques.”
Open Question Answering with Weakly Supervised Embedding Models (2014, methodology): “The earliest methods for open question-answering with KBs, based on hand-written templates [25,21], were not robust enough to such variability over possibly evolving KBs (addition/deletion of triples and entities).”
Information Extraction over Structured Data: Question Answering with Freebase (2014, methodology): “Finally, the KB community has developed other means for QA without semantic parsing (Lopez et al., 2005; Frank et al., 2007; Unger et al., 2012; Yahya et al., 2012; Shekarpour et al., 2013).”
TempQuestions: A Benchmark for Temporal Question Answering (2018, background): “In the last few years, the paradigm of translating questions into formal queries over structured knowledge bases (KBs) and data bases (DBs, including Linked Open Data) has become prevalent [7, 30, 33].”
Learning joint query interpretation and response ranking (2012, methodology): “6.4.7 DEANNA on telegraphic queries We also tried to use the Web interface to send a sample of our telegraphic queries and their well-formed sentence counterparts to DEANNA [37] and receive back the interpretation.”
Knowledge Graph and Corpus Driven Segmentation and Answer Inference for Telegraphic Entity-seeking Queries (2014, background): “…of a well-formed query sentence to a strongly structured (typically graph-oriented) query language (Kasneci et al., 2008; Pound et al., 2012; Yahya et al., 2012; Berant et al., 2013; Kwiatkowski et al., 2013), the Web search and information retrieval (IR) community has focused on…”
ReNoun: Fact Extraction for Nominal Attributes (2014, background): “…to queries about entities that the search engine knows about (e.g., famous individuals, organizations or locations) complement the links that the search en-∗ Work done during an internship at Google Research. gine typically returns (Sawant and Chakrabati, 2013; Singhal, 2012; Yahya et al., 2012).”
Large-scale Semantic Parsing via Schema Matching and Lexicon Extension (2013, background): “There has been recent interest in producing such semantic parsers for large, heterogeneous databases like Freebase (Krishna-murthy and Mitchell, 2012; Cai and Yates, 2013) and Yago2 (Yahya et al., 2012), which has driven the development of semi-supervised and distantly-supervised training methods fo”
Question Answering on Freebase via Relation Extraction and Textual Evidence (2016, background): “An exciting development in structured QA is to exploit multiple KBs (with different schemas) at the same time to answer questions jointly (Yahya et al., 2012; Fader et al., 2014; Zhang et al., 2016).”
Paraphrase-Driven Learning for Open Question Answering (2013, background): “Some work has been made towards more general databases like DBpedia (Yahya et al., 2012; Unger et al., 2012), but these systems rely on hand-written templates for question interpretation.”
Open Domain Question Answering via Semantic Enrichment (2015, methodology): “Examples of the most recent KB-based QA systems include [2, 3, 17, 18, 40, 44, 45, 46].”
Core techniques of question answering systems over knowledge bases: a survey (2017, unknown): “DEANNA (Yahya et al. 2013) selects some triples phrase candidates in the question analysis phase using regular expressions over POS tags.”
Robust named entity disambiguation with random walks (2018, background): “ca many applications, such as: (1) expanding or correcting KBs with facts of entities extracted from text [16]; (2) semantic search [27], the emerging paradigm of Web search that combines Information Retrieval approaches over document corpora with KB-style query answering and reasoning; and (3) in N”
Open question answering over curated and extracted knowledge bases (2014, background): “Curated KBs like Freebase are attractive for QA because they allow systems to reason over high-precision knowledge and return accurate answers.”