{
    "paper_id": "2020",
    "header": {
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        "date_generated": "2023-01-19T12:27:51.062853Z"
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    "title": "",
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    "year": "",
    "venue": null,
    "identifiers": {},
    "abstract": "",
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        "paper_id": "2020",
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        "abstract": [],
        "body_text": [
            {
                "text": "In today's global world, people may need access to information that only appears online in a language they do not speak. Cross-Language Information Retrieval (CLIR) enables end users to issue queries in their own language, but provides results from multiple languages around the world, often using translation so that the end user can quickly understand whether the retrieved results are relevant. Crosslanguage summarization can make it easier for an end user to determine if a document is relevant by providing a summary in the user's language of the foreign language document, highlighting the evidence for relevance. Alternatively, a summary can be used to get a sense of document meaning, when the document is not in the user's language. When the foreign language is a low-resource language, crosslanguage search and summarization are more difficult; translation capabilities may be poor and the lack of resources makes it difficult to train CLIR and summarization systems. To complicate matters even more, when the collection contains speech as well as text, producing accurate search results and generating comprehensible summaries is even more difficult.",
                "cite_spans": [],
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                "section": "Introduction",
                "sec_num": null
            },
            {
                "text": "This workshop aims to stimulate the collection and provision of resources that can improve systems that perform cross-language search and summarization. Papers were solicited that describe recent and current research in these areas, that describe relevant resources, or that stake out positions on the directions in which the authors think the field should move.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Introduction",
                "sec_num": null
            },
            {
                "text": "Had the workshop proceeded in person, it would have featured a keynote speech by Carl Rubino, program manager of the IARPA MATERIAL program (USA). Carl was planning to describe the program and the languages studied, as well as metrics that the program uses during its evaluations, paying particular attention to the correlation between linguistic properties and system performance. We had also planned a second keynote speech by Julio Gonzalo, Universidad Nacional de Educaci\u00f3n a Distancia (Madrid, Spain), who has recently been working on reputation reports, summaries of what is being said about an entity with a focus on reputational consequences. They have collected a large multilingual test collection for the reputation monitoring problem, with over half a million manual annotations for several tasks on twitter data, including named-entity disambiguation, reputational polarity, topic detection, reputational alerts, reputation reports, opinion maker identification, reputational dimensions, and author profiling.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Introduction",
                "sec_num": null
            },
            {
                "text": "To set the stage, the organizers provide two small spoken language test collections that include waveforms, transcriptions and possibly queries with relevance judgments. These are conversational genres, one in Somali (a very-low resource language) and the other in Bulgarian (a moderate-resource language) both of which include approximately 80 hours of speech. ",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Introduction",
                "sec_num": null
            }
        ],
        "back_matter": [],
        "bib_entries": {
            "BIBREF3": {
                "ref_id": "b3",
                "title": "Elizabeth (Liz) Boschee, USC/Information Sciences Institute (USA)",
                "authors": [],
                "year": null,
                "venue": "",
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                "raw_text": "Elizabeth (Liz) Boschee, USC/Information Sciences Institute (USA)",
                "links": null
            },
            "BIBREF4": {
                "ref_id": "b4",
                "title": "Editor Program Committee Eneko Agirre",
                "authors": [],
                "year": null,
                "venue": "",
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                "other_ids": {},
                "num": null,
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                "raw_text": "Richard Schwartz, Raytheon BBN Technologies (USA), Editor Program Committee Eneko Agirre, University of the Basque Country (Spain) Piyush Arora, American Express Big Data Labs (India) Mohit Bansal, University of North Carolina (USA) Nicola Ferro, University of Padua (Italy) Petra Galuscakova, University of Maryland (USA) Jan Hajic, Charles University (Czech Republic)",
                "links": null
            },
            "BIBREF10": {
                "ref_id": "b10",
                "title": "Elhuyar Foundation (Spain) Ilya Zavorin, Bluemont Technology (USA) Rui Zhang",
                "authors": [
                    {
                        "first": "Urizar",
                        "middle": [],
                        "last": "Xabier Saralegi",
                        "suffix": ""
                    }
                ],
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                "raw_text": "Xabier Saralegi Urizar, Elhuyar Foundation (Spain) Ilya Zavorin, Bluemont Technology (USA) Rui Zhang, Yale University (USA)",
                "links": null
            }
        },
        "ref_entries": {
            "TABREF0": {
                "text": "The Effect of Linguistic Parameters in CLIR Performance Carl Rubino . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1",
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